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Detection of Leaks in the Water Distribution Network 2nd

Detection of Leaks in the Water Distribution Network

引用

2nd international conference on Information Technologies and Their Applications

作者： Aida-Zade, Kamil Ashrafova, Yegana Inst Control Syst Baku Azerbaijan Azerbaijan Univ Architecture & Construct Baku Azerbaijan Baku State Univ Baku Azerbaijan

ISBN: (纸本)9783031734199;9783031734205

Numerical methods are employed to address an inverse problem associated with a water distribution network characterized by a complex loopback structure. The problem is to ascertain the locations and magnitudes of leaks based on measurements of unsteady flow characteristics at certain points in the pipeline. Key aspects of the problem include the involvement of impulse functions within a system of hyperbolic differential equations, the lack of traditional initial conditions, and the specification of nonseparated boundary conditions between states at the endpoints of adjacent pipeline segments. The problem is transformed into a parametric optimal control problem, devoid of initial conditions but featuring nonseparated boundary conditions. The latter problem is tackled using first-order optimization methods. The paper presents the outcomes of numerical experiments. Notably, this research distinguishes itself from others by addressing the inverse problem of determining leak locations and magnitudes within an unsteady flow scenario in a water distribution network with a complex (loopback) structure, as opposed to studies focusing on steady flow or transient flow in simpler pipeline configurations.

关键词： water distribution network locations of water leaks amounts of water leaks an inverse problem impulse functions hyperbolic differential equations nonseparated boundary conditions

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Adaptive control strategy for energy storage and grid frequency adjustment combined with quadratic function 2

Adaptive control strategy for energy storage and grid freque...

引用

2nd IEEE international conference on Electrical, Automation and computer Engineering, ICEACE 2024

作者： Wang, Muqing Chen, Xiaofang Gao, Liangfang He, Pengyuan Zhao, Nan Taiyuan030032 China Great Power Science and Technology Stock Co. Ltd Fuzhou362000 China

ISBN: (纸本)9798350368208

An equivalent regional power grid model containing energy storage batteries was constructed. By studying the participation of batteries in regional power grid frequency adjustment, it has been verified that the participation of energy storage batteries in power grid frequency adjustment has a significant improvement effect on power grid frequency stability;Based on the fixed power operation of energy storage batteries, considering the state of charge (SOC) of the battery as an important factor, the SOC was improved as a feedback signal. In addition, research has shown that the SOC feedback mechanism not only improves the accuracy of grid frequency adjustment, but also helps optimize the battery's charging and discharging strategies, thereby avoiding the risk of over discharging or overcharging and further extending the battery's lifespan. This improvement plan provides more reliable technical support for the application of energy storage systems in future power grids. © 2024 IEEE.

关键词： State of charge

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Research on the Application of YOLOv8 Model Based on ODConv and SAHI Optimization in Dense Small Target Crowd Detection 2

Research on the Application of YOLOv8 Model Based on ODConv ...

引用

2nd IEEE international conference on control, Electronics and computer technology, ICCECT 2024

作者： Guan, Xiaotao Guan, Zifan Zhu, Sicaiyu Chen, Bingcai School of Computer Science and Technology Dalian University of Technology Dalian China School of Mechanical Engineering Dalian University of Technology Dalian China

ISBN: (纸本)9798350380958

In view of the wide application of dense small target population detection technology in many fields such as traffic management, emergency response, and commercial applications, it is necessary to improve the accuracy and timeliness of relevant models. In order to solve this problem, this paper proposes a new lightweight and efficient dense small target population detection algorithm based on YOLOv8: ODConv2-YOLO-SAHI. The ODConv dynamic convolution module is embedded into the backbone network of YOLOv8, which enhances the adaptability of the model to the diversity of input data and reduces the computational cost of the model. The ODConv multi-dimensional attention mechanism was introduced to improve the model's ability to extract individual features of small targets by learning complementary attention in multiple dimensions along the kernel space. In the process of model inference, the slicing aided hyper inference mechanism (SAHI) was introduced to improve the small target detection capability of the model. Experimental results show that ODConv2-YOLO with only ODConv dynamic convolution module and ODConv multi-dimensional attention mechanism improves the detection accuracy by 2.1 % compared with YOLOv8n, while the parameter quantity and computational amount are only 2.8M and 7.3GFLOPs;After adding SAHI mechanism, the performance of the ODConv2-YOLO-SAHI model is improved by about 25% compared with YOLOV8n in the average number of detected small target individuals, which better meets the needs of high detection accuracy and low computing power for dense small target crowds in field scenarios. © 2024 IEEE.

关键词： Convolution

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Securing Vehicle-to-Cloud Communication: A Lightweight Approach with SCDSA 2

Securing Vehicle-to-Cloud Communication: A Lightweight Appro...

引用

2nd IEEE international conference on Measurement, Instrumentation, control and Automation, ICMICA 2023

作者： Paramathma, M Krishna Varma, N Likhitha Bhavani, D. Satya Mahatma Gandhi Institute of Technology Computer Science Engineering Hyderabad India

ISBN: (纸本)9798350355048

The Internet of Things (IoT) pertains to a network of interconnected objects and the corresponding technology that enables these objects to communicate with each other, as well as with the cloud. Vehicle-to-Cloud (V2C) is an IoT application that facilitates interaction between automobiles and the cloud. Through this connection, various data regarding the vehicle, such as its position, driving behavior, and diagnostics, can be transmitted. The V2C technology holds great potential for enhancing efficiency, convenience, and safety. However, it is imperative to ensure the authenticity of the transmitted data in order to maintain data integrity across transactions. While existing digital signature techniques address this concern, there is a need for a more lightweight approach that caters to devices with limited resources. To address this challenge, this research proposes the employment of the Shortened Complex Digital Signature Algorithm (SCDSA). By minimizing reliance on large prime numbers, SCDSA optimizes the computational burden associated with signature generation and verification. The aim of this study is to develop a secure communication system between vehicles and the cloud using SCDSA. In this scenario, information supplied from a vehicle will only be synced with the cloud provided the data is intact and uncorrupted during the transmission procedure. SCDSA might be beneficial in other IoT applications, without compromising security. © 2024 IEEE.

关键词： Authentication

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Mutual Inductance Detection Method of Magnetic Coupling Wireless Power Transmission System in SS Topology Based on Frequency Modulation and Phase Shift control 2

Mutual Inductance Detection Method of Magnetic Coupling Wire...

引用

2nd IEEE international conference on Electrical, Automation and computer Engineering, ICEACE 2024

作者： Wu, Xiaorui Xiao, Jing Xu, Haifeng Mo, Yuhong Chen, Shaonan Wu, Ning Electric Power Research Institute of Guangxi Power Grid Co. Ltd Southern Power Grid Corporation Wireless Power Transmission Joint Laboratory Nanning China Chongqing University College of Automation Chongqing China

ISBN: (纸本)9798350368208

Faults occur from time to time in the magnetic coupling wireless power transmission (MC-WPT) system. When the fault occurs, if the system can detect the changes of various parameters in time, the operator can quickly locate the location of the fault, especially the most important system parameter mutual inductance M. In order to solve this problem, this paper proposes a mutual inductance detection method based on frequency modulation control and phase shift control in MC-WPT system with SS topology, in which frequency modulation control and phase shift control will make the system resonate again, and the mutual inductance M of the system can be obtained by reading the valid values of voltage and current parameters from the resonator of the system. Due to the introduction of frequency modulation control and phase shift control, this detective measurement can be highly accurate. © 2024 IEEE.

关键词： Frequency modulation

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Dynamic Pricing: Trends, Challenges and New Frontiers 2

Dynamic Pricing: Trends, Challenges and New Frontiers

引用

2nd IEEE international conference on Contemporary Computing and communications, InC4 2024

作者： Kumari, Archana Mohan Kumar, S. School of Engineering and Technology CMR University Bengaluru India CMR University Directorate of Research and Innovations Bengaluru India

ISBN: (纸本)9798350383652

Modern dynamic pricing has emerged as a computer-automated strategy that has revolutionized pricing methodologies and consumer interactions across various industries. This paper delves into the intricate domain of dynamic pricing, presenting an overview of its significance and the complex factors influencing its implementation. Within the realms of computer science, this subject involves heuristic development, data science, and the design of robust system architectures. The paper extensively examines the application of dynamic pricing in critical sectors such as e-commerce, travel, energy, electric vehicle charging, cloud computing, and ride-sharing services. It highlights the strategies and algorithms employed in each sector, showcasing their effectiveness in adapting to dynamic market conditions. The pivotal role of competitive forces, demand dynamics, inventory management, and price discrimination in shaping dynamic pricing strategies is explored in depth. Furthermore, this paper identifies promising avenues for future research in dynamic pricing, spanning industries such as transportation, energy, online platforms, industrial parks, automated machine learning, emerging technologies, and real-time pricing. It serves as a comprehensive guide to the contemporary state-of-the-art in dynamic pricing, shedding light on its multifaceted nature, broad applications, and exciting prospects for advancement across diverse industries. © 2024 IEEE.

关键词： Inventory control

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The Research of BIM Model Structure and Integration System of Building Electromechanical System Improved by Automatic control Theory 2

The Research of BIM Model Structure and Integration System o...

引用

2nd IEEE international conference on Image Processing and computer Applications, ICIPCA 2024

作者： Xinru, Nie Wei, Zhang Art Design College Hubei University of Technology Wuhan China

ISBN: (纸本)9798350360240

The automatic extraction of the logical relationship between construction machinery and electrical equipment is an important technical core of BIM from construction to operation. This project aims to solve the problems of incorrect physical connection between equipment and pipeline in BIM model, and it is difficult to automatically extract logical association of equipment, and research a new idea of automatic repair and efficiency optimization of physical association between equipment and pipeline for construction site. Three types of problems such as breakpoint, misalignment and wrong direction in cross-document are precisely defined. Then this paper studies the efficiency of mechanical and electrical integration automation repair, and realizes the batch extraction of BIM modeling and the efficient automatic extraction of information association. The research results of this project will provide technical support for the transformation of building BIM model to operation model. The research theory is helpful to promote the operation and maintenance management of electromechanical equipment based on BIM. © 2024 IEEE.

关键词： Construction equipment

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Analysis of Secure Vehicular Ad Hoc Network communications in IoT-Enabled Healthcare 2

Analysis of Secure Vehicular Ad Hoc Network Communications i...

引用

2nd IEEE international conference on Interdisciplinary Approaches in technology and Management for Social Innovation, IATMSI 2024

作者： Lokhande, Sharayu A. Pawar, Shilpa Chuahan, Neha Shri Jjtu Department of Computer Engineering Rajasthan India Army Insttute of Technology Department of Computer Engineering Pune India Army Insttute of Technology Department of EnTC Pune India

ISBN: (纸本)9798350360523

The emergence of the novel COVID-19 disease fuels explosive growth in internet services such as smart healthcare systems for remote patient monitoring. The Internet of Things (IoT) is made up of numerous devices that communicate with one another, such as sensor nodes, gateways, actuators, base stations, and so on. A critical component of the smart city project is remote passenger health monitoring using IoT technology combined with Vehicular Ad Hoc Network (VANET). Several issues confront the IoT- enabled VANET, including privacy preservation, security, energy efficiency, and Quality of Service (QoS). To protect patients' identities and sensitive medical information, smart healthcare systems must provide privacy and security. We investigate the various security solutions for VANET communications that have recently been offered in this study. We investigated both cryptography-based and trust management-based security options for VANET communications. These methods were developed with smart healthcare applications and other general applications in mind. We present the research gap analysis study after discussing several methodologies. The findings of this paper are the various research problems that must be addressed for safe VANET communications. © 2024 IEEE.

关键词： Internet of things

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A Hybrid CNN-SVM Approach for Malaria in Blood Cell Detection 2

A Hybrid CNN-SVM Approach for Malaria in Blood Cell Detectio...

引用

2nd international conference on Software Engineering and Information technology, ICoSEIT 2024

作者： Karnyoto, Andrea Stevens Isnan, Mahmud Pardamean, Bens Bina Nusantara University Bioinformatics and Data Science Research Center Jakarta Indonesia Bina Nusantara University Binus Graduate Program - Master of Computer Science Computer Science Department Jakarta Indonesia

ISBN: (纸本)9798350317503

There is still a severe malaria problem worldwide, particularly in regions with limited access to diagnostic tools. It is crucial to develop a system for detecting malaria in blood cells. This paper presents a hybrid Convolutional Neural Network (CNN), and as a classifier, we use a Support Vector Machine (SVM) framework for the automated detection of malaria parasites in blood cell images. The proposed system leverages the strengths of CNNs in feature extraction and representation learning from images, combined with the discriminative power of SVMs for classification. Initially, CNN extracts intricate features from blood cell images, capturing essential patterns indicative of malaria infection. Subsequently, the extracted features are used to train an SVM classifier, enabling accurate discrimination between parasitized and uninfected blood cells. Experimental dataset evaluations were obtained from the Lister Hill National Center for Biomedical communications website of the National Library of Medicine. The proposed model achieves a better f1-score, outperforming individual CNN or SVM models, around 0.015 compared to individual CNN models and 0.27 compared to individual SVM models. This hybrid CNN-SVM methodology offers a promising solution for accurately and efficiently detecting malaria parasites in blood cell images. © 2024 IEEE.

关键词： Support vector machines

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Predicting Cell Line-Specific Synergistic Drug Combinations Through Siamese Network with Attention Mechanism 1

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2nd international conference on Cognitive Computation and Systems, ICCCS 2023

作者： Bao, Xin Chen, XiangYong Qiu, JianLong Wang, Donglin Qian, Xuewu Sun, JianQiang School of Information Science and Engineering Linyi University Linyi276005 China School of Automation and Electrical Engineering Linyi University Linyi276005 China Jinan Key Laboratory of 5G+ Advanced Control Technology Jinan250103 China

ISBN: (数字)9789819708857

ISBN: (纸本)9789819708840

Drug combination therapy holds great promise for curing cancer patients, as it can significantly enhance treatment effectiveness and reduce drug toxicity. However, efficiently identifying synergistic drug combinations from a vast pool of potential drug combinations remains challenging, mainly due to the expensive and time-consuming nature of traditional experimental methods. In this work, we introduce a novel deep learning method called SNAADC for discovering synergistic drug combinations. In SNAADC, we employ Siamese Network and attention mechanism to extract more effective drug features for better performance. The experimental results demonstrate that SNAADC outperforms traditional and popular methods. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Network architecture

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